| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
07/10/2010 |
|
Data da última atualização: |
23/05/2011 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
ROMANI, L. A. S.; ÁVILA, A. M. H.; ZULLO JÚNIOR, J.; TRAINA JÚNIOR, C.; TRAINA, A. J. M. |
|
Afiliação: |
LUCIANA ALVIM SANTOS ROMANI, CNPTIA; ANA MARIA H. ÁVILA, CEPAGRI/UNICAMP; JURANDIR ZULLO JÚNIOR, CEPAGRI/UNICAMP; CAETANO TRAINA JÚNIOR, ICMC/USP; AGMA J. M. TRAINA, ICMC/USP. |
|
Título: |
Mining relevant and extreme patterns on climate time series with CLIPSMiner. |
|
Ano de publicação: |
2010 |
|
Fonte/Imprenta: |
Journal of Information and Data Management, Belo Horizonte, v. 1, n. 2, p. 245-260. June 2010. |
|
Idioma: |
Inglês |
|
Conteúdo: |
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields. In this context we propose a new technique to identify extreme values in climate time series and to correlate climate and remote sensing data in order to improve agricultural monitoring. Accordingly, this paper presents a new unsupervised algorithm, called CLIPSMiner (CLImate PatternS Miner) that works on multiple time series of continuous data, identifying relevant patterns or extreme ones according to a relevance factor, which can be tuned by the user. Results show that CLIPSMiner detects, as expected, patterns that are known in climatology, indicating the correctness and feasibility of the proposed algorithm. Moreover, patterns detected using the highest relevance factor is coincident with extreme phenomena. Furthermore, series correlations detected by the algorithm show a relation between agroclimatic and vegetation indices, which confirms the agrometeorologists' expectations. |
|
Palavras-Chave: |
Algoritmo CLIPSMiner; Data mining; Mineração de dados. |
|
Thesagro: |
Sensoriamento Remoto. |
|
Thesaurus Nal: |
Climate change; Remote sensing. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23218/1/39-220-2-PB.pdf
|
|
Marc: |
LEADER 02239naa a2200241 a 4500
001 1863850
005 2011-05-23
008 2010 bl uuuu u00u1 u #d
100 1 $aROMANI, L. A. S.
245 $aMining relevant and extreme patterns on climate time series with CLIPSMiner.$h[electronic resource]
260 $c2010
520 $aOne of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields. In this context we propose a new technique to identify extreme values in climate time series and to correlate climate and remote sensing data in order to improve agricultural monitoring. Accordingly, this paper presents a new unsupervised algorithm, called CLIPSMiner (CLImate PatternS Miner) that works on multiple time series of continuous data, identifying relevant patterns or extreme ones according to a relevance factor, which can be tuned by the user. Results show that CLIPSMiner detects, as expected, patterns that are known in climatology, indicating the correctness and feasibility of the proposed algorithm. Moreover, patterns detected using the highest relevance factor is coincident with extreme phenomena. Furthermore, series correlations detected by the algorithm show a relation between agroclimatic and vegetation indices, which confirms the agrometeorologists' expectations.
650 $aClimate change
650 $aRemote sensing
650 $aSensoriamento Remoto
653 $aAlgoritmo CLIPSMiner
653 $aData mining
653 $aMineração de dados
700 1 $aÁVILA, A. M. H.
700 1 $aZULLO JÚNIOR, J.
700 1 $aTRAINA JÚNIOR, C.
700 1 $aTRAINA, A. J. M.
773 $tJournal of Information and Data Management, Belo Horizonte$gv. 1, n. 2, p. 245-260. June 2010.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 13 | |
| 5. |  | COELHO, E. T. Distribuição, prevalência e nova raça fisiológica de Puccinia graminis tritici no Brasil, em 1972 e 1973. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 12 (único), p. 131-134, 1977 Título em inglês: Distribution, prevalence and a new physiologic rice of Puccinia graminis tritici in Brazil, in 1972 and 1973.| Biblioteca(s): Embrapa Unidades Centrais. |
|    |
| 7. | | MOREIRA, M. S. de P.; RIBEIRO, A. C. de C. L.; CARVALHO, A. da C.; SANTOS, C. A. dos; ARCURI, E. F.; DINIZ, F. H.; SOUZA, G. N. de; NUNES, J. B.; BRITO, J. R. F.; MORAES, L. C. D. de; BRITO, M. A. V. P. e; ZOCCAL, R. Produção de leite de qualidade com a tecnologia "Kit Embrapa de Ordenha Manual". In: FERNANDES, E. N.; MARTINS, P. do C.; MOREIRA, M. S. de P.; ARCURI, P. B. (Ed.). Novos desafios para o leite do Brasil. Juiz de Fora: Embrapa Gado de Leite, 2007. p. 41-49.| Tipo: Capítulo em Livro Técnico-Científico | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Gado de Leite. |
| |
| 9. | | MOSCA-BRANCA. Brasilia: EMBRAPA-CNPH / EMBRAPA-SPI / EMATER-MG / EMATER-DF, [199-]. 1 video cassete, 43min., son. color., VHS. (Dia de Campo na TV, 3).| Biblioteca(s): Embrapa Hortaliças. |
| |
| 10. | | MARTINS, D. R.; MELO, W. L. B. Uso da técnica fotoacústica para caracterizar grãos de cafés quanto a qualidade e conservação - uma metodologia. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2014, São Carlos, SP Anais do SIAGRO: ciência, inovação e mercado 2014. São Carlos, SP: Embrapa Instrumentação, 2014. p. 489-492. Editores: Carlos Manoel Pedro Vaz, Débora Marcondes Bastos Pereira Milori, Silvio Crestana. Entrada padronizada MELO, W. L. de B.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 11. | | SOUSA, F. A.; NORONHA, V. T.; MACHADO, T. F.; SILVEIRA, J. V.; CUNHA, F. A.; FECHINE, P. B. A.; PAULA, A. J. Silver nanocoatings at large length scales: Influence of the AgNPs morphology and capping agents on the coating chemical stability and antimicrobial effect. Journal of the Brazilian Chemical Society, v. 28, n. 9, p. 1639-1649, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
|  |
| 12. | | VILELLA, F. M. F.; WAQUIL, J. M.; VILELA, E. F.; SIEGFRIED, B. D.; FOSTER, J. E. Selection of the fall armyworm Spodoptera frugiperda (Smith) (Lepidoptera: Noctuidae) for survival on Cry 1A (b) Bt toxin. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 1, n. 3, p. 12-17, set./dez. 2002.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| Registros recuperados : 13 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
